Senior Director, Marketing Data Services (Owned & Paid)

Marriott•Bethesda, MD

12d•$151,100 - $238,000•Hybrid

About The Position

The Senior Director, Marketing Data Services owns the vision, roadmap, and adoption of governed data services for Owned and Paid marketing on Marriott’s Data Services Platform. The services cover audiences, activation, contact pressure, media performance, and measurement. This technical product leadership role applies data engineering and architecture knowledge to frame technical requirements, evaluate design trade-offs, and help teams work with Marriott’s technologies. The role translates marketing needs into product requirements and roadmaps for reusable data services on Snowflake, AWS, and GCP, and serves as the primary data partner to marketing stakeholders. As a senior leader within Enterprise Data, Analytics & AI, the role works with the Digital Foundations pod and platform engineering so marketing data is built once, governed consistently, and ready for AI and real-time decisioning. The position leads a blended onshore/offshore team and partners across marketing, analytics, architecture, and engineering to deliver scalable data foundations and measurable business outcomes. Marriott Headquarters roles are generally hybrid and require regular in-office presence at the assigned location. Remote roles are identified as such in the job posting; this posting does not identify the role as remote.

Requirements

12 or more years in data product management, data strategy, or data architecture, including at least 5 years leading teams.
Proven experience owning data products or platforms end to end, including vision, roadmap, requirements, prioritization, and adoption.
Strong grasp of data engineering concepts, including pipelines, data modeling, data contracts, data quality, and orchestration, and the ability to translate business needs into technical requirements.
Working knowledge of Snowflake and modern data tooling such as dbt and Airflow.
SQL proficiency to explore data and validate solutions.
Strong understanding of AWS and GCP data services and architecture patterns sufficient to frame requirements and weigh cost, security, and scalability trade-offs with engineering.
Understanding of enterprise feature-store and vector-store design and use, and ability to define requirements for ML and AI use cases such as MMM.
Familiarity with graph, NoSQL, and distributed databases, such as Neo4j or Neptune, DynamoDB, MongoDB, or Bigtable, and when they are better suited than a warehouse.
Experience defining semantic layers, metric layers, or certified KPI frameworks.
Experience with marketing data, including CRM and lifecycle, paid media, audiences, attribution, and spend.
Working knowledge of martech and adtech, including customer data platforms, email/CRM platforms, search and programmatic platforms, and clean rooms.
Strong understanding of privacy, consent, and data governance in marketing activation.
Proven ability to set direction, build trust across organizational lines, and align business and technology teams on consistent, scalable approaches.
Ability to explain technical concepts clearly to senior business stakeholders and business priorities clearly to engineers.
Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related quantitative field.
A foundation in data engineering or analytics engineering is strongly preferred.

Nice To Haves

Advanced degree.
Prior hands-on experience as a data engineer, analytics engineer, or data architect.
Familiarity with streaming and event-based data such as Kafka and API-based data services.
Exposure to Snowflake AI capabilities such as Cortex, ontologies, and data for AI agents.
Applied GenAI experience, such as defining AI use cases, data requirements for agents, or LLM-based products in production.
Experience in-housing paid media data or building MMM and incrementality data foundations.
Hospitality, travel, or loyalty industry experience.

Responsibilities

Own the Owned and Paid marketing data services roadmap within Marriott’s future-state Data Services Platform, including identity and consent, audience and activation, paid media connectors, and the measurement feedback loop.
Shape the target architecture for marketing data with enterprise architecture and engineering, including source ingestion, medallion layers, data products, and consumer access.
Lead the in-housing and centralization of paid media data, including spend, impressions, and outcomes from publishers and DSPs.
Drive measurement foundations for attribution, incrementality, and marketing mix modeling (MMM) with Marketing & Digital Analytics.
Define product requirements, data contracts, and acceptance criteria for marketing data services, including audiences and holdouts, contact history and contact pressure, media performance, conversion, and attribution.
Partner with engineering and architecture to assess options across Snowflake, AWS, and GCP, weighing cost, speed, scalability, and reuse.
Define requirements for the enterprise feature store and vector store supporting MMM, incrementality, and AI use cases.
Define certified marketing metrics, entities, and relationships in the semantic layer for consistent use by BI tools, analysts, and AI agents.
Help product and engineering teams understand Marriott’s data technologies and standards and translate them into delivery approaches.
Serve as the primary data partner to Owned marketing (CRM, lifecycle, global promotions, and personalization) and Paid marketing (search, programmatic, social, and RIOTT) leaders.
Translate business questions into product requirements, priorities, and delivery plans, and explain technical trade-offs in business terms.
Represent marketing data services in enterprise forums and with agency and platform partners.
Co-own marketing and traffic-source taxonomy, campaign attribution, and semantic-layer deliverables with the Digital Foundations pod.
Run a joint backlog and shared success measures connecting digital behavior and marketing data to bookings, revenue, and loyalty.
Work with Marketing & Digital Data Technology and platform teams responsible for engineering standards, environments, and deployment.
Lead a blended onshore/offshore team of data product analysts, data and quality engineers, data modelers, and taxonomy specialists.
Set expectations for requirements quality, documentation, and reuse, and build data and technical literacy across the team.
Measure investments against business outcomes, including attributable revenue, media efficiency, speed to insight, and analyst effort.
Ensure solutions meet privacy, consent, and data governance standards.
Deliver Owned and Paid data services on shared, reusable foundations, avoiding new one-off pipelines.
Deliver a joint taxonomy and semantic-layer roadmap with Digital Foundations against shared success measures.
Provide engineering-ready requirements that measurably reduce the time from marketing request to usable data.

Benefits

401(k) plan
Stock purchase plan
Discounts at Marriott properties
Commuter benefits
Employee assistance plan
Childcare discounts
Medical coverage for full-time positions
Dental coverage for full-time positions
Vision coverage for full-time positions
Health care flexible spending account for full-time positions
Dependent care flexible spending account for full-time positions
Life insurance for full-time positions
Disability insurance for full-time positions
Accident insurance for full-time positions
Adoption expense reimbursements for full-time positions
Paid parental leave for full-time positions
Educational assistance for full-time positions
Washington employees accrue paid sick leave and PTO and are eligible for at least 9 holidays annually